DIC is NA

[Nafsika Antoniadou]

Hello,

I have the model:

form13 = y ~ -1 + intercept  +  temp  +
  f(idx, model="dmatern", locations = loc,
    hyper = list(range = list(prior = "pc.range", param = c(30, 0.05)),
                 theta1 = list(prior="pc.prec", param=c(0.4, 0.05))))

fit_gpd_pred = inla(form13,
                    data = data_df_gpd_pred,
                    control.predictor = list(compute=TRUE, link=1),
                    family = "gp",
                    lincomb=lcs,
                    control.family = list(list(control.link = list(quantile = q_gpd))),
                    control.compute = list(dic = TRUE, waic = TRUE, cpo = TRUE, config = TRUE),
                    control.inla=list(strategy="laplace",int.strategy="ccd"),
                    verbose = FALSE,
                    num.threads = 2) which returns 

Deviance Information Criterion (DIC) ...............: NA
Deviance Information Criterion (DIC, saturated) ....: NA
Effective number of parameters .....................: NA

WAIC is computed. If I remove the covariate and I have only an intercept in form13 then it is computed. WHy does this happen?

[Helpdesk (Haavard Rue)]

I need to be able to rerun it here, to check details.

Please make sure to use R-4.5 and the most recent testing version

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